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History of Computer Games: Your Essay VS Controversial Prejudice

You can be a warrior, a hero, an emperor or one of the 300 Spartans. Wait, we`re going to talk about historical accuracy here, so we can`t let you be one of King Leonidas` warriors. Mainly because this story is a lie from a mathematical point of view. Did you know that there were 7000 soldiers who were fighting on the side of Spartans so they weren`t left alone against those thousands and thousands of Persians? 

Now, we can get back to the topic. As a person who holds a Master degree in history and freelances as a blogger and essay writer cheap but daily, I just must make sure that you can distinguish a beautiful tale from a real historical fact. 

So, computer games give you a remarkable opportunity to become whoever you want. You can be an adventurous sailor or a pirate, a colonizer or a native American. Basically, computer games have taken away your opportunity to become those characters in the games you would play outside with your friends. 


But it`s not that controversial issue we`re going to discuss here. In fact, many scientists agree that certain computer games (played in moderation, of course) are more than beneficial for the cognitive development of a child. They improve memory, visual intelligence, attention and concentration. Some studies even showed that video games help patients to overcome dyslexia. What is more, scientists noticed that playing computer games may help children with a lazy eye and even improve their overall vision. 

If your grandma isn`t a big fan of playing computer games, you`d better convince her to at least try some of them because they are believed to slow down mental aging. 

Apart from obviously negative factors like celebrating violence in games and addiction that may pose a threat to social life in general, computer games seem to be just a fun way of spending free time. 

So, it looks like playing computer games rather brings benefit than does harm. But still, are the abovementioned advantages unfairly underestimated or they are really not as powerful as all negative associations we may have with this activity? 

Let`s check that out. 

Never-Ending Issue with Stereotypes

Do girls play computer games? It`s a tricky question, huh? Unfortunately, video games have turned into a certain equivalent of digital football or actually any other sport that girls “aren`t so good at”, according to a popular belief. Cinematography just makes this idea to settle even deeper in social conscious especially by showing teenage comedies. Tomboys usually play those games. 

Or there is another image of a chick who is an eager player. She`s all pretty and possesses all stereotypical (because, apparently, movie directors have never met high school girls in their lives) attributes of femininity. And yet, she`s a pro at computer games, and this characteristic makes her super cool like she`s so incredibly special and unique. 

Guess what, statistics say that those stereotypes have nothing to do with reality. According to the Entertainment Software Association`s report, adult females play more mobile games than teenage boys do. Don`t you dare to say that mobile and video games are different? Interfaces, plots, programming language are very similar, so it`s almost the same thing. There is no evidence from any psychological study that boys enjoy video games more than girls do. Besides, such gender segregation is harmful to business because the target audience appears limited by sex.   


Marketing techniques that modern advertisers use exclude women almost completely. And there is no need to create more video games that will be aimed specifically at girls because developers just won`t go further than painting a background in pink and creating characters who wear Channel boots. Because that`s how most of them must imagine female consumers. 

However, it hasn`t always been like that. In fact, back in a day, all computer games were unisex. And then, something happened. Let`s take a look at the history timeline.

Circa 1970s

Pong, one of the first computer games, was released in 1972. And it was one of those arcade video games that now could be considered to be vintage and super expensive. This game was marketed to the entire family so nobody doubted the fact that girls are good at computer games because it wasn`t an issue of a public discussion. 

Mr. Pac-Man was the next highly anticipated game. Well, this one definitely has a male character. However, the game turned out to be so popular among girls that developers came up with the second edition called Mrs. Pac-Man.  In 1982 Electronics Games Magazine wrote: “The game`s record-shattering success derives from its overwhelming popularity among female players”.

What is more, many developers and programmers who created those games in the previous century were ladies as well. The team of three women (Carol Shaw, Donna Bailey, and Roberta Williams) created a whole business industry of adventure games. However, this positive social picture didn`t last for too long. 1986 was the year when video games industry crashed. This crisis occurred due to many reasons, including significant deterioration of the quality of graphics, plots, characters, and other factors. It led to horrible economic consequences because adults almost stopped playing video games at all.

A Genius Marketing Plan from Nintendo

When you are at a grocery store, where do you often see computer games? In most cases, they can be spotted in toys section because it seems logical. However, until the 1990s, games could be found in an electronic section. But Nintendo decided to apply a new marketing campaign and changed the location. 

Well, something had to be done about that horrible industry crisis. At that time, toy sections were separated into two zones. And you must have guessed it right, the one was blue and the other one was pink. 

By the way, the history of gender associations connected to these colors is rather interesting. At the beginning of the 20th century, some books advised mothers to dress boys in pink and girls in blue, so no prejudice was hidden in there at that time.

Nintendo had to choose a section, and they went with boys. It wasn`t an obvious choice back then because, as we`ve already mentioned, video games were even more popular among girls. If you watch a few Nintendo`s commercials of that time, you`ll see that there are no girls in them. There are just boys chilling, hanging out, looking cool, and, of course, playing computer games. 


Here is the slogan that the company chose to advertise “Zelda”, the warrior medieval video game: “Willst thou get the girl?. . or play like one?”. It`s practically the same connotation which is applied in such ridiculous statements as “You run like a girl” or “You fight like a girl”. It gives young boys the idea that everything even remotely feminine implies a negative meaning.

This style of advertising has been imposing stereotypes on young audiences for decades, and getting out of that clearly sexist pit won`t be easy. Okay, it was over-dramatic, I admit. 

It may not be an incredibly crucial issue. And this part of the controversial history of video games may not even surprise anybody because that`s how things worked in the past. But we`ve evolved since then and we treat those social issues differently now. However, certain prejudices still exist, like those about real-life games of soccer or baseball. 

Still, our world is supposed to become a harmonious and well-balanced place. Can you feel that we`re getting there?

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AI is Now More Accurate at Diagnosing Skin Cancer than Dermatologists 

The world of artificial intelligence (AI) is expanding rapidly with breakthroughs happening each and every day. Computers are getting faster and more intelligent, the manufacturing process is becoming more efficient, and improvements are being seen all across the healthcare industry. 

One such success to emerge just recently is thanks to a group of researchers from Germany, France, and the USA. They’ve developed a form of AI that’s more accurate than human dermatologists when it comes to detecting skin cancer.


More than 100,000 images of malignant melanomas were shown to the deep learning convolutional neural network (CNN). Upon comparing the results of the AI’s diagnosis with that of 58 international dermatologists, the researchers found that the CNN missed fewer melanomas and had fewer misdiagnoses than the humans.

Explaining a little more about how the CNN is able to produce such accurate results is the first author of the study, Professor Holger Haenssle, senior managing physician at the Department of Dermatology, University of Heidelberg: “The CNN works like the brain of a child. To train it, we showed the CNN more than 100,000 images of malignant and benign skin cancers and moles and indicated the diagnosis for each image. With each training stage, the CNN improved its ability to differentiate between benign and malignant lesions.”

Of the 58 dermatologists taking part, 17 had less than two years’ experience, 11 had between two and five years, and 30 had more than five years experience under their belt. To begin with, each dermatologist was asked to diagnose a malignant melanoma or benign mole from 100 of the same dermoscopic images shown to the CNN. They were also to decide as to the right course of treatment (if any). Then, around one month later, they were given personal information (i.e. age, sex, and position of the lesion) about the people, shown close up images of the same 100 cases and then asked to give a re-diagnosis. 

Results from the study revealed that when it came to the first set of diagnoses’ the dermatologists had a success rate for detecting melanomas of 86.6% and 71.3% for non-malignant lesions. The CNN on the other hand, managed to successfully identify 95% of melanomas while identifying the exact same number (71.3%) of benign moles. The dermatologists did improve slightly in the second set of diagnosis with an accuracy rate of 88.9% for detecting malignant melanomas and 75.7% that were benign.


“The CNN missed fewer melanomas, meaning it had a higher sensitivity than the dermatologists, and it misdiagnosed fewer benign moles as malignant melanoma, which means it had a higher specificity; this would result in less unnecessary surgery,” said Haenssle. “These findings show that deep learning convolutional neural networks are capable of outperforming dermatologists including extensively trained experts, in the task of detecting melanomas.”

The number of people being diagnosed with malignant melanomas is on the rise with around 232,000 new cases being reported every year. If detected early enough, it can be cured. But often people aren’t diagnosed until it’s progressed and then it is much harder to treat. While Haenssle himself has been involved in various projects involving the early detection of melanomas over the past 20 years and made some significant advancements in the area, there’s always room for improvement.

Should dermatologists be worried that they will no longer be needed in their field of medicine? No. The CNN is not there to replace humans in diagnosing skin cancers. It’s simply there to act as an aid. “This CNN may serve physicians involved in skin cancer screening as an aid in their decision whether to biopsy a lesion or not. Most dermatologists already use digital dermoscopy systems to image and store lesions for documentation and follow-up. The CNN can then easily and rapidly evaluate the stored image for an ‘expert opinion’ on the probability of melanoma.”


Of course, the study was not without limitations. These include the fact that the dermatologists were in a fake setting where real decisions weren’t having to be made; the tests themselves didn’t cover the full spectrum of skin lesions; there were fewer images from non-Caucasians skin types, and not all doctors will follow the recommendation of a CNN they’ve yet to trust. It’s quite obvious that there’s still a lot to be done before AI will be accepted into mainstream clinical settings. But, it is no doubt, something that is coming in the near future.

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What Technologies should you invest in for the Future?

There’s no doubt that the landscape of the financial market is evolving at an incredible rate on the back of relentless innovation and technological advancement.

This is of considerable interest to investors, who are constantly identifying new and cutting-edge technologies that are likely to deliver a return in the modern age. Whether you invest through an ISA account or manage a self-invested personal pension (SIPP) plan through Bestinvest, it’s crucial that you monitor exciting technology trends as they develop.


But which technologies represent the best investment options in the near-term? Here are three of our top picks:

  1. Blockchain and Applications such as Ripple

When we say Blockchain you probably hear Bitcoin, and there’s a good reason for this. After all, this market-leading cryptocurrency enjoyed exponential growth last year as its price soared from $900 to a little over $20,000 in just 12 months.

The value of Bitcoin has since declined, however, while Blockchain (the technology that underpins cryptocurrency) continues to thrive in the marketplace. Make no mistake, Blockchain benefits from a host of potential applications, with its status as a decentralized ledger capable of revolutionizing sectors such as banking, logistics, and investment.

Ripple remains one of Blockchain’s key applications in recent times, and one that serves as a protocol and transparent payment network in the cryptocurrency market. In fact, its dual status as a prominent token and virtual ledger have alerted investors across the globe, while its value could potentially soar considerably this year and beyond. 

  1. Lithium and Battery Technology

We’ve seen incredible innovations in battery technology in recent times, with innovations such as rechargeable Lithium units and hydrogen fuel cells increasingly capable of providing sustainable power.

The demand for this type of tech has also increased considerably during the last few years, particularly in the automotive and consumer electronics sectors. The former market is proving to be particularly influential, with more than two million electric cars having now been sold worldwide, the UK government is pledging to outlaw the sale of petrol and diesel models by the year 2040.

As a result, both Lithium and Cobalt represent lucrative assets for investors to target in the near term with gross profit margins in excess of over $5000 per ton expected for years.


  1. Artificial Intelligence (AI)

AI has already entered the consumer mainstream in recent times, with the rise of personal assistants and devices such as Amazon’s Alexa driving the growth of this potentially huge market.

As leading tech brands continue to run complex algorithms that have benefited from the use of graphical processor units, AI and integrated machine learning have become increasingly sophisticated during the last 18 months. This trend is set to continue, with companies such as Google, Nvidia and the aforementioned Amazon likely to increase their investment in AI in the years ahead.

As a result of this, some industry experts expect these firms to see outsized gains in share price performance, and this should be of interest to investors across the globe.

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Researchers Develop Technique that can Remotely Operate Lab-Grown Heart Cells

A new technique developed by researchers at the University of California San Diego School of Medicine in collaboration with a few others enables them to accelerate or decelerate the growth of human heart cells in-lab by simply shining a light with varying intensity on it. The cells themselves are grown on graphene, which has proven to be a much more realistic environment than lab dishes as it has the ability to convert light into electricity. 


There are a number of different applications in which this method could be used in both research and clinical settings. It could be used to create better medical devices or to develop more precision drugs that have fewer side effects or to test therapeutic drugs in systems that are more biologically relevant. But none of it would be possible without the wondrous semimetal, graphene.

Graphene is made up of a tiny network of carbon atoms. And while this is the exact same element that makes up everything else living in this world, it’s properties are quite unique. One of the things that makes graphene so special is the fact that it can convert light into electricity. This makes it good to use in lab settings as Petri dishes and glass plates aren’t very conductive, whereas the human body is. The researchers noted that cells grown on graphene behave much more like cells in the human body than those grown in Petri dishes.

As part of the study, researchers developed heart cells from skin cells that had been donated via an induced pluripotent stem cell (iPSC) and grew them on a graphene surface. It took a while for them to pinpoint the best graphene-based formulation as they also had to find the best light source for the job and a way of delivering it to the cell. But when they did, they were able to control just how much electricity was generated by the graphene by varying the light’s intensity.


“We were surprised at the degree of flexibility that graphene allows you to pace cells literally at will,” says first author on the study, Alex Savchenko, Ph.D., and research scientist in the Department of Pediatrics at UC San Diego School of Medicine and Sanford Consortium for Regenerative Medicine. The researchers found that by using light and dispersed graphene they were able to control the heart activity of zebrafish embryos. 

It’s an exciting time for Savchenko and colleagues as they look forward to the number of possible applications this graphene-based system can be used in. One such application is drug screening. At the moment, robots are used to test drug samples, screening them for their abilities to alter the way a cell behaves. Those drugs that are found to have the effect they’re after are studied in more detail. The problem is that many drugs could be being missed because their effects aren’t quite as apparent when using cells that are grown in plastic or glass Petri dishes.

Heart cells grown in a standard plastic petri dish contract at their own pace and therefore do not model the same conditions as someone might display just before they have a heart attack. Drugs tested on those cells may appear to do nothing if they are use-dependent. In order to test this theory, the team added mexiletine to the cells. Mexiletine is a drug that’s used to treat arrhythmias and is known for being use-dependent, meaning it is only effective when there’s a rise in the heart rate. 


When illuminating the heart cells on graphene using the light of different intensities, the researchers found that the faster the cells beat, the more the mexiletine inhibited them. While the team is currently focusing on just heart cells and neurons, eventually they wish to apply this graphene-based light system to search for drugs that are able to eradicate cancer cells while leaving healthy cells unharmed. They are also hoping to see graphene being used to find alternatives to opioids.

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Modern Car Technologies that may not Work as Intended

Now, self-driving cars were thought to be mainstream by the time 2020 came along. And while that might still be a reality, there are a number of problems that car manufacturers, including Apple who aims to bring out self-driven cars soon, need to figure out. In a recent news, a self-driven car didn’t stop even after identifying a pedestrian crossing the road, leading to an eventual fatality. Uber’s self-driven cars have had their own fair share of troubles too, and that does beg the question – how to do you make it right?

The technologies used in the modern car are really transformative and can create a great experience. But not all of them work as intended or are underperforming creating a bad experience. Let’s explore few car technologies that can make you unsatisfied. We are sure you can always try playing your favorite online casino games with an online casino promo to lift up your moods but we are sure you would want your car to work right too. 


Voice Control

Voice control can be a useful thing as you don’t have to take off your eyes from the road and give commands by speaking. But the technology has not always effective and you can have the car opening the sunroof when all you asked was to switch on the radio.

Even accents can make the voice control do crazy things you never asked it to! It will take some time for the car brands to reach the level of Apple’s Siri when it comes to voice commands. 

Autonomous Emergency Braking

It’s one technology that can be quite functional when it comes to saving lives. Your car can sense and react in emergency situations by emergency braking when it faces some obstacles. 

For instance, there were reports of cars identifying plants or hedges as walls and slamming the brakes. It is not something that is worrisome, but can become inconvenient for drivers a lot!


Touch Screens

A car with a touch screen with no buttons- a cool thing you might say! But it can be a nightmare if not done in the correct way. Touch screens should always be user-friendly and easy to navigate.

Car manufacturers should take a cue from mobile app developers who are excellent at creating easy to navigate user interfaces like touchscreens. The icons should be big enough and not be cluttered all over the screen making things messy.

The important functions should be easy to access the touch panel and the technology shouldn’t be used as a means to reduce dashboard buttons and cut the cost. 

Adaptive Cruise Control

This feature uses radars or cameras to sense the proximity of the car ahead of you and adjust the speed accordingly to maintain a safe distance between the two vehicles. But this technology also doesn’t seem to work too well as this leads to a car with cruise control coming to a complete halt if another car slows down in front of you.

Slow response rates and snatch brakes make you look like a novice driver and can make you look like a fool to other motorists!


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Drone Technology Gets a Boost Thanks to New Virtual Reality Testing Ground

Drones aren’t fail-proof nor are they indestructible. And that’s what makes testing drones so frustrating. Time and time again engineers have to repair the damage caused by a drone while learning to maneuver around various obstacles. However, thanks to engineers from MIT that may be about to change.


The engineers have created a new virtual reality (VR) training system for drones that allows the vehicles to experience in a thriving, virtual environment while really they’re moving around in an empty space. “Flight Goggles” is the name given to the system and it could be the next big thing is to reduce the number of crashes that happen during drone training sessions.

“We think this is a game-changer in the development of drone technology, for drones that go fast,” says associate professor of aeronautics and astronautics at MIT, Sertac Karaman. “If anything, the system can make autonomous vehicles more responsive, faster, and more efficient.”

Much of Karaman’s inspiration came from drone racing, where human players controlling drones compete against one another as they fly through a various door, windows, and other obstacles. He wondered whether an autonomous drone could fly any better than the human-controlled ones.“In the next two or three years, we want to enter a drone racing competition with an autonomous drone, and beat the best human player,” says Karaman. 


The problem with that is that the way in which autonomous drones are currently trained is very hands on. Researchers have to fly the drones in very sparse testing grounds where nets are often hung to stop any out of control vehicles from flying away too far. They must also set up obstacles such as doors and windows for the drones to practice flying around. Whenever they crash they have to be repaired, or even worse, replaced. This adds even more costs to the projects balance sheet.

Flight Goggles consists of an image rendering program, a motion capture system, and electronics to process the images and send them directly to the drone. Using this system, Karaman and his colleagues can create their own realistic scenes and beam them straight to the drone to make it look as though it is navigating through that actual space. “The drone will be flying in an empty room, but will be ‘hallucinating’ a completely different environment, and will learn in that environment,” explains Karaman.

To test the system the researchers carried out a number of different experiments involving the drone. One such test involved the drone flying through a virtual window around twice its size. As the drone flew, images were beamed across that portrayed a living room and window. Over the course of 10 flights, the drone only crashed into the window three times out of 364, which is not bad really. Karaman says that even if the drone crashed several thousand times it would still be less impact to endure than if the same crash took place in the physical world opposed to a virtual one.


The final test saw the team set up a real window in the testing facility and then using the navigation algorithm that was in the virtual system, they flew the drone successfully through the real window 119 times out of 125. 

It’s a great system that is extremely malleable. Researchers can create their own scenes, including replicas of real buildings, in which to train the drones. It could also be used to test new sensors to see how they work with even faster-moving drones. “There are a lot of mind-bending experiments you can do in this whole virtual reality thing. Over time, we will showcase all the things you can do.,” says Karaman.

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How to Improve Your Animal Research Lab Activities

The benefits that the medical, veterinary and biological fields have received from the scientific research of animals are enormous. This may be coming at a time when there is a growing concern about the inhuman nature of experimenting with animals but this is set to continue until a decent alternative is found.

As an animal researcher, you understand this situation very well plus other challenges that face animal research in general. As you carry on with your research following the ‘three Rs’, it is important to also find ways to improve your animal research lab activities.


The following are ways in which you can do just that:

Use a good record keeping system

Every animal research lab requires good record keeping for it to run efficiently.  These are records for compliance, lab animals, and finances. Animal records are especially very important because any inaccurate identification of animals will not only lead to inaccurate data but also waste time and resources in repeat experiments.

Compliance records are required to ensure that your lab follows the applicable laws and regulations in terms of protocol reviews and approvals, animal care programs, security, occupational health, staff training and the approved number and species of animals among others.

Being compliant is important because your customers will also trust your services especially when they do searches on sites like Georgia corporation search. Good financial records are mandatory for accurate cost analysis.

Have a good lab design

The design of your lab should be done such that it provides a good environment for the animals and also facilitate the good research process. It should be cheap to maintain, provide good care of animals and make it convenient for you and your team to perform your experiments.

The costs associated with laboratory animal care are usually high and it is necessary to concentrate animal care operations to reduce labor costs as well as implement good security measures and ensure proper maintenance of your lab. This will avoid costly intrusions and also frequent needs for maintenance.

Use of improved testing methods

It is true that animal research is yet to be replaced but you can make things better by embracing new testing methods. One example is using a modern and sensitive method like microsampling that will reduce the number of animals used for each experiment.

This method promotes humane treatment of animals in terms of reducing the number of animals involved and also the pain and stress experienced by the animals. It is also economical since you will need only a small number of research animals for each project.


Use the available tech for research lab management

Technology is revolutionizing the way things are done in almost all institutions and although it has not helped in eliminating the use of animal in research, it is making its management easy. One way is through the use of laboratory animal research software that integrates all operational and compliance processes a well as allow you easy access to data and functionality.

Others like StudyLog.com enables you to run your studies within a very short time by automating time-consuming tasks and integrating them with existing databases. The software is also good for research teams since it allows for collaboration during design, planning, execution, analysis and reporting on all disease models.

Animal research studies are costly, highly involving and time-consuming. It is therefore important to always look for ways on how to improve your animal research lab activities. It starts with following the laid down rules and regulations, good practice and using the available technology for easy management of all your lab operations.

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New Research Sees Big Improvements in Thermoelectric Performance

Advances have been made in the thermoelectric performance of organic semiconductors by scientists at the U.S Department of Energy’s National Renewable Energy Laboratory (NREL). It’s an exciting discovery and one that demonstrates just how significant semi-conducting single-walled carbon nanotubes (SWCNTs) are when it comes to producing efficient material for thermoelectric generators.


“There are some inherent advantages to doing things this way,” said Jeffrey Blackburn, co-lead author of the study and a senior scientist in the Chemical and Materials Science and Technology Center at NREL. Some of which include the promise of producing inexpensive, flexible, and lightweight semiconductors.

The introduction of SWCNT into fabrics could prove to be an important feature of future wearable electronics. By using the person’s body heat to convert into electricity, the semiconductor could power sensors integrated into clothing or even portable electronics, said Andrew Ferguson, co-author and also a  senior scientist in the Chemical and Materials Science and Technology Center.


This is the third paper Blackburn and Ferguson have published in the past two years that focuses on SWCNTs. The first paper was published in Nature Energy and demonstrated the potential that SWCNTs have when it comes to thermoelectric applications. Only in this study, the films retained much of the insulating polymer. The second paper was published in ACS Energy Letters and showed how removing the polymer improved its thermoelectric properties.

The newest paper revealed that removing polymers from all SWCNT materials boosted the thermoelectric power even more so. It also showed improvements in the way in which charge carriers move through the semiconductor. Another thing that was demonstrated in the latest paper was how the same SWCNT film managed to achieve the same performance when doped with either positive or negative carriers.


Two materials that are needed to generate sufficient electricity in a thermoelectric device are p-type and n-type legs. Semiconducting polymers normally produce n-type materials that perform far worse than the p-types. Because SWCNT films have the ability to make p-type and n-type legs with the same performance from the same material, means the electrical current in each leg is balanced also. “We could actually fabricate the device from a single material,” Ferguson said. “In traditional thermoelectric materials, you have to take one piece that’s p-type and one piece that’s n-type and then assemble those into a device.”

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Everything you Need to Know About Internet of Things (IoT)

The Internet has subtly broken geographical barriers. It has connected people all around the globe that has made communication more dynamic and rigorous. After focusing on people, the second step is to connect things to a network and give them the ability to interact with each other. As it is about connection and interaction between things (cars, homes, and accessories) and not people, it is called the Internet of Things (IoT).

Public companies like Alphabet Inc, Amazon, Apple and Skyworks Solution have invested in IoT technology. By the year 2020, the global market for IoT is likely to have a net worth of $457 Billion. In comparison to 2016, it will have a compound annual growth rate (CAGR) of 28.5 % (Forbes). 


What is the Internet of Things (IoT)?

IoT is an infrastructure of physical devices connected to the internet. These devices use embedded sensors to generate data about their location, speed, and temperature. These sensors use various local area networks (RFID, Wi-Fi, and Zigbee) to share data with each other. They can also create connections in the broader network like GSM, 3G, and LTE. All the data generated by the interconnected devices first reach the IoT platform where it gets monitored and filtered. The IoT platform helps devices to share only relevant diagnostic information as it gets sorted through an embedded diagnostic bus. After that, the data passes through a gateway before the information finally reaches IoT platform. This makes IoT a robust analytic system that uses automation to make the devices interact with each other.

Applications of IoT: 

Industries: IoT helps enterprises to find bottlenecks in their machineries and the manufacturing processes. Machines generate the data about their throughput, performance and response time using embedded sensors and send it to the manufacturers using the internet. It enables industries to repair their machinery before they go down entirely as sensors analyze their performance and send warnings when a misfunctioning happens. IoT eliminates the traditional preventative maintenance approach and uses predictive maintenance. It saves time and money for businesses and helps them achieve a more substantial Return on investment (ROI).


Cars: IoT has transformed the automotive industry. It allows the tracking and monitoring of automobiles. Car manufacturers can examine the performance of a vehicle using the metrics shared by the IoT platform. The embedded sensors in cars and buses connected through a network (LAN or WAN) exchange meaningful information to the potential nodes in a network. It helps manufacturers to find the defects in a vehicle before it causes severe damage. IoT also makes driving secure and more comfortable as a driver gets notified before a fault arises.  

Agriculture: The challenges faced by the agricultural sector are vast and hard to tackle.  IoT devices examine the fertility of the soil in accordance with environmental conditions (temperature, humidity and rainfall). It allows farmers to adopt a more efficient irrigation practice. The efficiency saves water and reduces human labor. This way, IoT facilitates the outdoor agriculture and helps farmers face the challenges. IoT devices are also capable of predicting and monitoring micro-climate conditions in the indoor farming.  

Smart Cities: IoT has integrated the use of internet in the day to day activities. It includes automated transportation, smart energy management, and intelligent surveillance. IoT implements the concept of smart cities by consolidating internet in essential operations. It includes monitoring water supply, providing public security and bill payments. By connecting cars on the internet, IoT enables people to find a vacant parking slot without any struggle. It avoids traffic problems and makes transportation more efficient. IoT also helps in keeping the cities clean. Smart Belly Trash notifies the municipal services when the bins are overloaded. Sensors can also identify malfunctioning in electronic devices that help the authorities to avoid power failures.   

Healthcare: IoT creates an interconnected healthcare environment. It provides an InterSystem platform that integrates Electronic medical records (EMR) and lightweight directory access protocol (LDAP). It allows hospitals to handle complex clinical workflows, avoid redundancies and eliminate human errors. IoT helps doctors to have a better understanding of their patient’s health. The interconnected devices collect crucial data (pulse rate, heartbeat and sleep cycle) and convert into a comprehensive report. It allows doctors to make a more in-depth analysis and draw a meaningful conclusion. IoT helps doctors to safeguard patients from unforeseen health problems such as a heart attack by taking precautions beforehand. 


Terminologies related to the Internet of Things (IoT)

Gateway:  It is the central point in an IoT network where different networks meet and interact with each other. Routers and Switches in a smart city is an example of a gateway in IoT.

Machine to Machine (M2M): M2M describes the technology associated with connecting different machines using the internet. As a piece of information reaches from one device to another, it is called M2M. It is the essence of IoT.

Radio-frequency identification (RFID): In IoT, RFID is the use of the electromagnetic field to keep a track on the devices that are on an IOT network. It applies to automotive, healthcare and agricultural industry.  

Embedded Software: It is the collection of programs that control hardware and monitor them. It performs essential functions without involving an operating system.

Bluetooth Low Energy (BLE): It is a wireless network that enables devices in an IoT network to connect in a small range with the consumption of less power.

Internet of Things (IoT) has transformed the way people do their everyday activities and use various accessories. It has made devices more connected and transparent. The transparency in the IoT environment has provided ways to use technology in smarter ways. Thus, it has made the world more technically-driven than before. 

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Getting to Grips with Machine Learning

A new Machine Learning Initiative’s been launched by Dr. Marc Deisenroth from the Department of Computing at Imperial College London this month. It aims to bring together various machine learning researchers to provide a collaborative workspace suitable for researching, teaching, and learning of this fast-moving field.


Machine learning is the driving force behind artificial intelligence (AI). It’s where algorithms and methodologies enable computers to learn on their own and improve on their own without the need for any further human intervention and without being explicitly programmed.  It works by finding patterns in data that humans find difficult to process and makes predictions and decisions based on it.

Today, examples of machine learning can be seen all around us.  It’s the very same technology that makes both Siri and Alexa work. Machine learning algorithms also power Google search results as well as recommend personalized products to us. Within the home, machine learning algorithms enable smart appliances to adjust themselves. While many cells phones today use faced detection using the same techniques.  These are just a few examples, but as you can see, machine learning is quickly getting everywhere.


One area of machine learning that the College will be focusing on as part of the study is probabilistic modeling. The researchers will use probabilistic models in which to make predictions in a number of different areas.  Reinforcement learning is another area of focus and is about using trial and error in which to learn. At Imperial, the researchers develop reinforcement learning algorithms that can be used in various applications across the robotics or healthcare industries. Imperial is hoping that the initiative will be a huge success and push the college into becoming a global player in machine learning research.

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